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Ž. Špiclin

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Review Open access Jul 2026

Adaptive multi-stage domain unlearning for white-matter lesion segmentation

An adaptive multi-stage domain unlearning (ADMU) technique to improve robustness to unseen scanner domains by employing deep supervision at deep encoder stages by applying domain classifier unlearning, sequentially across these stages to reduce domain-discriminative latent features.

Domen Preloznik, Ž. Špiclin · 0 citations
Preprint Aug 2026

Automated Fetal Brain MRI Biometry in Healthy and Pathological Cases

An automated biometric analysis pipeline is assembled that localizes 22 anatomical landmarks on NeSVoR-reconstructed 3D volumes and derives 11 clinically relevant measurements spanning supratentorial, ventricular, cerebellar, and midline structures.

Ema Masterl, T. Vesnaver, Nejc Šubič et al. · 0 citations

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